With energy-saving technologies becoming easier to understand and configure, there are many ways to avoid energy consumption at the moment. Turn off the lights, turn them off when the device is not used, and use low energy, energy-efficient products or energy Star models to save or reduce energy consumption, distribution and energy costs.
There are a number of easy ways to reduce energy consumption when devices are not applied, including desktop workstations, PCs, notebooks, video monitors, and printers. Turn off the lights or configure the motion detectors (motion detector) to turn off the lights automatically, closing or adjusting general products and energy products to energy-saving mode will have significant cost benefits.
The figure above shows four basic ways to improve energy efficiency. One of them is to avoid energy use, which is similar to the rational model, but it will affect the amount of work that can be done. Another way is to use the same energy to do more work, to improve energy efficiency, or to do the same work to reduce energy consumption.
A power ditch is the amount of information that has been completed or stored in a given region, and the energy consumption. The biggest difference in energy efficiency, as seen in scenario four, is to do more work or store more information in a small area, but consumes less energy.
Because of the shareable nature of data center resources and the independence of Intersystem, not all resources can be shut down completely. Some forms of storage devices can be turned off when not in use, such as offline storage devices or backup and archive intermediaries. such as tape or removable hard drive, does not need to use for storing static and dormant data of electricity.
Avoiding energy use may be a way to address energy, cooling, ground space, and environmental challenges, especially for servers and storage, networks that are not always used or are in a state of access. However, because of performance, availability, capacity, security, compatibility, policy, financial resources, and other reasons, not all application software, data, or workloads can be rounded up or reduced in energy consumption.